Abstract

State of Indonesia is an agrarian country, so do not be surprised if most of the livelihoods of Indonesian society that is as a farmer. Launching of the long-term development of five years by the government in the past to turn Indonesia into the country food self-sufficiency, expected to be able to meet food needs. But until now Indonesia is still importing foodstuffs, especially rice to meet food needs for the population. This indicates that the need for more food increases with population growth and the shift of agricultural land to non agricultural land for housing needs, office area and industrial sites.
As the State of Indonesia is an agrarian country, Malang is also one area in East Java Province agrarian nature so that the agricultural sector plays a major role in supporting regional development. Agriculture in Malang district covers food crops, plantations, livestock and forestry products and fisheries. The agricultural sector contributes the largest compared with other sectors that is equal to 31.87 percent, trade, hotels and restaurants accounted for 23.55
percent, and the manufacturing sector accounted for 16.88 percent.
To know the development of food crop production in Malang district then conducted research with the aim to know the size of the factors that influence the production of food crops in Malang. This research was carried out deliberately in Malang. The data used are secondary data, the data is the data on food crop production from 1998 until 2009. While the variables used include the area of land, labor and the area of land intensification of food crops in Malang.
Suspected area of land, labor and the intensification significantly affect either simultaneously or partially to the production of food crops.
From the calculation of multiple regression analysis was obtained equation Y = -2962908 + 7.229 X1 + 2.280 X2 + 18.219 X3. As for the hypothesis test is known that variable area of land, labor and intensification contribute significantly to the production of food crops. It can be seen by the large value of Ftest = 25.945> Ftable = 4.07. While for the values of determination coefficients obtained yield was 0.907, meaning that the equation that is used has a proportion of 90.7% in describing the independent variable (Y).
Hypothesis testing was partially the result that each variable contributed significantly to the production of food crops. This is shown by their respective ttest greater than ttable namely the value of ttest for X1 = 4.606, X2 = 3.336 and X3 = 3.320 which is greater than the value ttable = 2.20.